---
title: panel_fmac
description: Learn how to use the Fama-MacBeth estimator for panel data analysis in
  Python. Understand the parameters required and how to specify the input dataset
  and target column. Explore how this function can help you analyze panel data by
  incorporating exogenous variables.
keywords:
- Fama-MacBeth estimator
- panel data analysis
- Python function
- parameters
- exogenous variables
---



<!-- markdownlint-disable MD012 MD031 MD033 -->

import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';

Fama-MacBeth estimator for panel data.

Parameters
----------
data: List[Data]
Input dataset.
y_column: str
Target column.
x_columns: str
List of columns to use as exogenous variables.

Returns
-------
OBBject[Dict]
OBBject with the fit model returned

```python wordwrap

```

---

## Parameters

This function does not take standardized parameters.

---

## Returns

This function does not return a standardized model

---